Midpoint Deliverable
Jenny Dao, Stephanie Nguyen, Janet Pan, & Dana Rin
5/18/2020
Introduction
Climate change is a really relevant topic today and is a problem that needs to be solved. It’s also a global crisis that a lot of countries are facing. It is important to understand what are the factors that are contributing to global warming, as well as its impact on the world. This document summarizes how countries are impacted by climate change. We are specifically interested in how the factor of waste production contributes to global warming in differnt countries. To help global warming, recycling plays a big role in reducing the waste. Therefore, in this document, we also examine to correlation of recycling rate and global warming in a set of countries.
Summary Information
In the Country Level Dataset, we are able to access data regarding the different types of waste and amounts of those wastes for every country.
- This data set accounts for a global population of 6.968277110^{9}.
- Using this we calculated the total waste per person, which equaled 0.2648201.
- On a larger scale, we calculated that there is an average of 8.503869710^{6} per country.
- When looking closer at the different types of waste created per country, we were able to calculate that there is an average of 2.198488710^{7} of agricultural waste per country.
- Agriculture is such a large part of what goes into the make up of society around the globe. To better understand this data, with regards to location, we were able to determine the average total waste per person in the United States. This ended up being 0.8098857 per person.
Summary Table
| region | Change in Temperature |
|---|---|
| Russia | 40.933 |
| Kazakhstan | 35.809 |
| North Korea | 34.033 |
| Uzbekistan | 31.330 |
| South Korea | 31.278 |
| Kyrgyzstan | 30.084 |
| Turkmenistan | 29.727 |
| Iraq | 27.584 |
| Japan | 26.769 |
| Tajikistan | 26.333 |
| Greenland | 25.700 |
| Denmark | 25.664 |
| Kuwait | 24.573 |
| Iran | 22.508 |
| Tunisia | 21.645 |
| Svalbard And Jan Mayen | 21.199 |
| Turkey | 20.839 |
| Algeria | 19.912 |
| Ukraine | 19.002 |
| Bahrain | 18.879 |
| Finland | 18.683 |
| Moldova | 18.591 |
| Saudi Arabia | 18.436 |
| Macedonia | 18.154 |
| Serbia | 17.926 |
| Romania | 17.717 |
| Bulgaria | 17.616 |
| Qatar | 17.495 |
| Belarus | 17.464 |
| Egypt | 17.407 |
| Montenegro | 17.390 |
| Hungary | 17.357 |
| Portugal | 17.169 |
| Estonia | 16.929 |
| Malta | 16.710 |
| Latvia | 16.689 |
| Morocco | 16.538 |
| United Arab Emirates | 16.506 |
| Bosnia And Herzegovina | 16.420 |
| Croatia | 16.335 |
| Albania | 16.173 |
| Lithuania | 15.888 |
| Slovenia | 15.833 |
| Greece | 15.779 |
| Slovakia | 15.700 |
| Sweden | 15.649 |
| Nepal | 15.251 |
| Poland | 15.211 |
| Europe | 15.049 |
| Austria | 14.834 |
| Georgia | 14.742 |
| Spain | 14.672 |
| Monaco | 14.641 |
| Norway | 14.527 |
| Czech Republic | 14.494 |
| Italy | 14.065 |
| Asia | 13.707 |
| Liechtenstein | 13.509 |
| Switzerland | 13.497 |
| Pakistan | 13.276 |
| Macau | 13.255 |
| Andorra | 13.239 |
| Afghanistan | 13.023 |
| Taiwan | 12.998 |
| San Marino | 12.845 |
| Germany | 12.765 |
| Mauritania | 12.739 |
| Hong Kong | 12.610 |
| Saint Pierre And Miquelon | 12.587 |
| France (Europe) | 12.074 |
| Ã…land | 12.041 |
| Luxembourg | 11.872 |
| Oman | 11.727 |
| Belgium | 11.384 |
| Azerbaijan | 11.238 |
| Denmark (Europe) | 11.021 |
| Yemen | 10.947 |
| Djibouti | 10.784 |
| Bangladesh | 10.635 |
| Netherlands (Europe) | 10.464 |
| Western Sahara | 10.317 |
| Netherlands | 10.307 |
| Syria | 10.264 |
| France | 10.163 |
| Iceland | 10.008 |
| Bhutan | 9.539 |
| India | 9.511 |
| Mali | 9.292 |
| Mexico | 9.180 |
| United Kingdom (Europe) | 8.600 |
| Cyprus | 8.264 |
| Armenia | 8.181 |
| Jordan | 8.172 |
| United Kingdom | 7.936 |
| Vietnam | 7.487 |
| Ireland | 7.438 |
| Sudan | 7.358 |
| Eritrea | 7.291 |
| Lebanon | 7.229 |
| Guernsey | 6.946 |
| Jersey | 6.946 |
| Gaza Strip | 6.766 |
| Israel | 6.565 |
| Bahamas | 6.441 |
| Chad | 6.357 |
| Africa | 6.147 |
| Cuba | 6.043 |
| Turks And Caicas Islands | 5.947 |
| Isle Of Man | 5.760 |
| Cayman Islands | 5.747 |
| Faroe Islands | 5.299 |
| Cape Verde | 5.212 |
| Belize | 5.127 |
| Laos | 5.053 |
| Somalia | 4.465 |
| Guatemala | 4.451 |
| Anguilla | 4.224 |
| Saint Barthélemy | 4.224 |
| Saint Martin | 4.224 |
| Sint Maarten | 4.224 |
| British Virgin Islands | 4.204 |
| Virgin Islands | 4.204 |
| Puerto Rico | 4.127 |
| Antigua And Barbuda | 4.125 |
| Montserrat | 4.087 |
| Guadeloupe | 3.999 |
| Dominican Republic | 3.990 |
| Saint Kitts And Nevis | 3.952 |
| Ethiopia | 3.886 |
| Aruba | 3.861 |
| Bonaire, Saint Eustatius And Saba | 3.840 |
| Dominica | 3.663 |
| Martinique | 3.663 |
| Palestina | 3.653 |
| Curaçao | 3.642 |
| Australia | 3.632 |
| Haiti | 3.590 |
| Honduras | 3.577 |
| Libya | 3.444 |
| Jamaica | 3.426 |
| Oceania | 3.409 |
| Mongolia | 3.332 |
| Senegal | 3.332 |
| China | 3.287 |
| Saint Lucia | 3.185 |
| Burma | 3.137 |
| Barbados | 3.130 |
| Saint Vincent And The Grenadines | 3.116 |
| Kiribati | 2.972 |
| Rwanda | 2.968 |
| Burundi | 2.949 |
| USA | 2.853 |
| Philippines | 2.849 |
| Palmyra Atoll | 2.820 |
| Grenada | 2.787 |
| Kingman Reef | 2.783 |
| Sri Lanka | 2.705 |
| North America | 2.668 |
| Canada | 2.665 |
| El Salvador | 2.637 |
| Cambodia | 2.624 |
| Gambia | 2.531 |
| Trinidad And Tobago | 2.528 |
| Nicaragua | 2.457 |
| Suriname | 2.088 |
| French Guiana | 2.059 |
| Singapore | 2.040 |
| Democratic Republic of the Congo | 1.878 |
| Guam | 1.788 |
| Northern Mariana Islands | 1.788 |
| Burkina Faso | 1.661 |
| Federated States Of Micronesia | 1.659 |
| Thailand | 1.589 |
| Costa Rica | 1.507 |
| Malaysia | 1.398 |
| Guyana | 1.353 |
| Uganda | 1.085 |
| Guinea Bissau | 1.027 |
| Venezuela | 1.013 |
| Nigeria | 0.768 |
| Angola | 0.656 |
| Samoa | 0.456 |
| Kenya | 0.443 |
| Panama | 0.442 |
| Guinea | 0.390 |
| Colombia | 0.380 |
| American Samoa | 0.353 |
| Ecuador | 0.342 |
| Palau | 0.265 |
| French Polynesia | 0.262 |
| Central African Republic | 0.222 |
| Baker Island | 0.127 |
| Tanzania | 0.072 |
| Indonesia | 0.046 |
| Zambia | -0.044 |
| Cameroon | -0.193 |
| Brazil | -0.199 |
| Sierra Leone | -0.234 |
| Solomon Islands | -0.252 |
| Christmas Island | -0.365 |
| Liberia | -0.489 |
| Peru | -0.562 |
| Congo | -0.576 |
| Seychelles | -0.638 |
| Côte D’Ivoire | -0.763 |
| Bolivia | -0.817 |
| Sao Tome And Principe | -1.075 |
| Chile | -1.189 |
| Papua New Guinea | -1.210 |
| Malawi | -1.320 |
| Gabon | -1.506 |
| Benin | -1.510 |
| Argentina | -1.597 |
| Equatorial Guinea | -1.604 |
| Ghana | -1.666 |
| Togo | -1.788 |
| Niue | -1.871 |
| Fiji | -1.906 |
| Niger | -2.217 |
| Mozambique | -2.353 |
| Zimbabwe | -2.428 |
| Mayotte | -2.437 |
| Timor Leste | -2.830 |
| Heard Island And Mcdonald Islands | -2.960 |
| South America | -3.096 |
| New Caledonia | -3.203 |
| Tonga | -3.495 |
| South Georgia And The South Sandwich Isla | -3.537 |
| Comoros | -3.695 |
| Swaziland | -4.226 |
| French Southern And Antarctic Lands | -4.268 |
| Reunion | -4.526 |
| Mauritius | -5.093 |
| New Zealand | -5.189 |
| Namibia | -5.197 |
| Madagascar | -5.588 |
| Falkland Islands (Islas Malvinas) | -6.020 |
| Botswana | -6.480 |
| Lesotho | -8.133 |
| Paraguay | -8.448 |
| South Africa | -8.554 |
| Uruguay | -11.636 |
Change in Temperature Map
Which part of the world is being affected by global warming the most?
This map helps answer the question. The change in temperature was measured by the earliest date and latest date recorded with their corresponding average temperature. By subtracting the two, we can see the change in temperature over the years. The higher the change, the more affected by global warming a country is. This map is a good way to visualize it because we can clearly see, by the colors, which country is most affected and in what way. Based on this map, we can conclude that Russia is the country that is most affected by global warming. We can also see that Russia’s temperature change is extremely positive, which means the country’s surface temperature increased drastically over the years. There were also countries that actually had a negative temperature change, which means they actually got colder over the years, and based on the map, it seems that the countries closer to the south had a decrease in surface temperature. 
Global Waste Generation Chart
Which country has contributed most to climate change through waste generation (per capita)?
Each bar represents the average amount of waste a person generates within a country. As you can see, not all countries are listed on the chart because the average values of waste generation are combined with others within the same region, like Europe, for instance. Waste generation, in terms of climate change, is not good for the environment. Waste generation, releases a greenhouse gas that contributes to climate change. Therefore, the more waste being generated within a country/region, the more that country contributes to climate change. By looking at this bar chart, you are able to compare the difference between the average waste generated between countries when referring to the numbers above each bar. You are also able to easily see which contries generated the most and least waste. To answer the question by looking at the chart, the United States has contributed the most to waste generation (0.74) and Indonesia has contribued the least (0.05).
Correlation between waste recycling rate and global warming
What is the correlation between recycling rate and contribute to global warming?
This scatter plot shows the correlation between the average percent recycled rate vs average temperature change in a small set of countries in Europe. The x-axis is the average percent recycled rate where it is calculated by the recycled waste over total waste. The y-axis is the average temperature change in the country over the years. Each dot represents a country. The regression line has shown, the percent recycled waste is positively correlate to the temperature change. This is not what we expected and this could due the sample size is too small to make a good projection or the dataset that we found are not accurate.
## Warning: Can't display both discrete & non-discrete data on same axis